Stock Yards Bancorp (SYBT) Return on Sales [ROS] (2010 - 2026)
Stock Yards Bancorp's Return on Sales [ROS] was 348.95% in Q2 2026, down 10.04 percentage points from 358.99% a year earlier and down 12.57 percentage points from the prior quarter.
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Analysis
Stock Yards Bancorp (SYBT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Stock Yards Bancorp's Return on Sales [ROS] was 361.81% through Jun 30, 2026, up 14.14 percentage points year-over-year; for FY2025, it was 365.74%, up 41.54 percentage points from FY2024.
- Return on Sales [ROS] has now increased for four consecutive years, with a five-year change of +25.26 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 324.20% in FY2024 (+59.19 pp), 265.01% in FY2023 (+97.96 pp), 167.04% in FY2022 (+5.69 pp) and 161.35% in FY2021 (-179.13 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +33.87 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 505.12 percentage points); the worst was Q1 2022 (a drop of 420.75 percentage points).
- Per Business Quant data, SYBT's Return on Sales [ROS] in the three quarters before Q2 2026 was 361.52% (Q1 2026), 362.83% (Q4 2025) and 375.20% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Stock Yards Bancorp | 2.43 Bn | 2.43 Bn | - | 79.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.64% |
| Mar 31, 2026 | 82.87% |
| Dec 31, 2025 | 86.06% |
| Sep 30, 2025 | 87.62% |
| Jun 30, 2025 | 86.35% |
| Mar 31, 2025 | 87.91% |
| Dec 31, 2024 | 85.03% |
| Sep 30, 2024 | 86.60% |
| Jun 30, 2024 | 85.85% |
| Mar 31, 2024 | 83.31% |
| Dec 31, 2023 | 73.58% |
| Sep 30, 2023 | 74.03% |
| Jun 30, 2023 | 68.95% |
| Mar 31, 2023 | 62.94% |
| Dec 31, 2022 | 55.39% |
| Sep 30, 2022 | 48.83% |
| Jun 30, 2022 | 46.34% |
| Mar 31, 2022 | 15.61% |
| Dec 31, 2021 | 51.62% |
| Sep 30, 2021 | 49.97% |
API Access
Stock Yards Bancorp Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=SYBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SYBT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=SYBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();